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Bank Loan Approval Prediction With Artificial Neural Nets(으)로 돌아가기

Coursera Project Network의 Bank Loan Approval Prediction With Artificial Neural Nets 학습자 리뷰 및 피드백

4.5
별점
12개의 평가
2개의 리뷰

강좌 소개

In this hands-on project, we will build and train a simple deep neural network model to predict the approval of personal loan for a person based on features like age, experience, income, locations, family, education, exiting mortgage, credit card etc. By the end of this project, you will be able to: - Understand the applications of Artificial Intelligence and Machine Learning techniques in the banking industry - Understand the theory and intuition behind Deep Neural Networks - Import key Python libraries, dataset, and perform Exploratory Data Analysis. - Perform data visualization using Seaborn. - Standardize the data and split them into train and test datasets.   - Build a deep learning model using Keras with Tensorflow 2.0 as a back-end. - Assess the performance of the model and ensure its generalization using various Key Performance Indicators (KPIs). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
필터링 기준:

Bank Loan Approval Prediction With Artificial Neural Nets의 2개 리뷰 중 1~2

교육 기관: Muhammad M

2020년 12월 26일

informative

교육 기관: Gregory G J

2021년 1월 12일

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